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Martin Eisenacher
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2020 – today
- 2022
- [j8]Yasset Pérez-Riverol
, Jingwen Bai, Chakradhar Bandla, David García-Seisdedos, Suresh Hewapathirana
The PRIDE database resources in 2022: a hub for mass spectrometry-based proteomics evidences. Nucleic Acids Res. 50(D1): 543-552 (2022) - 2021
- [j7]Gerhard Mayer
Implementing FAIR data management within the German Network for Bioinformatics Infrastructure (de.NBI) exemplified by selected use cases. Briefings Bioinform. 22(5) (2021)
2010 – 2019
- 2019
- [j6]Gerhard Mayer
A generally applicable lightweight method for calculating a value structure for tools and services in bioinformatics infrastructure projects. Briefings Bioinform. 20(4): 1215-1221 (2019) - [j5]Yasset Pérez-Riverol
The PRIDE database and related tools and resources in 2019: improving support for quantification data. Nucleic Acids Res. 47(Database-Issue): D442-D450 (2019) - 2016
- [j4]Michael Turewicz
PAA: an R/bioconductor package for biomarker discovery with protein microarrays. Bioinform. 32(10): 1577-1579 (2016) - 2015
- [j3]Eric W. Deutsch, Juan P. Albar, Pierre-Alain Binz, Martin Eisenacher
Development of data representation standards by the human proteome organization proteomics standards initiative. J. Am. Medical Informatics Assoc. 22(3): 495-506 (2015) - [i2]Martin Eisenacher
Poster abstracts of GCB 2015. PeerJ Prepr. 3: e1350 (2015) - [i1]Axel Mosig, Jörg Rahnenführer, Martin Eisenacher, Sven Rahmann
Invited presentations, junior research groups and research highlights at GCB 2015. PeerJ Prepr. 3: e1352 (2015) - 2013
- [j2]Gerhard Mayer
The HUPO proteomics standards initiative- mass spectrometry controlled vocabulary. Database J. Biol. Databases Curation 2013 (2013) - [c1]Daniel Schober, Gerhard Mayer, Annick Moing, Martin Eisenacher, Steffen Neumann:
Ontological analysis of controlled vocabularies used in PSI/MSI supported XML standards. GI-Jahrestagung 2013: 1875-1888 - 2012
- [p3]Katharina Podwojski, Christian Stephan, Martin Eisenacher
Important Issues in Planning a Proteomics Experiment: Statistical Considerations of Quantitative Proteomic Data. Quantitative Methods in Proteomics 2012: 3-21 - [p2]Martin Eisenacher
Search and Decoy: The Automatic Identification of Mass Spectra. Quantitative Methods in Proteomics 2012: 445-488 - 2010
- [p1]Christian Stephan, Martin Eisenacher
Proteomics Data Collection (ProDaC): Publishing and Collecting Proteomics Data Sets in Public Repositories Using Standard Formats. Proteome Bioinformatics 2010: 345-368
2000 – 2009
- 2006
- [j1]Martin Eisenacher
Mass Analysis Peptide Sequence Prediction (MAPSP). Bioinform. 22(8): 1002-1003 (2006)
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